Technological innovation and operational effectiveness: their role in achieving performance improvements

The purpose of this article is to examine the role of the alignment between technological innovation effectiveness and operational effectiveness after the implementation of enterprise information systems, and the impact of this alignment on the improvement in operational performance. Confirmatory factor analysis was used to examine structural relationships between the set of observed variables and the set of continuous latent variables. The findings from this research suggest that the dimensions stemming from technological innovation effectiveness such as system quality, information quality, service quality, user satisfaction and the performance objectives stemming from operational effectiveness such as cost, quality, reliability, flexibility and speed are important and significantly well-correlated factors. These factors promote the alignment between technological innovation effectiveness and operational effectiveness and should be the focus for managers in achieving effective implementation of technological innovations. In addition, there is a significant and direct influence of this alignment on the improvement of operational performance. The principal limitation of this study is that the findings are based on investigation of small sample size.     

Electoral turnout of foreign-born residents in Chile: an analysis with data from the administrative census and opinion polls

Based on an administrative census of the 267,116 migrants registered for the 2017 presidential elections and a survey applied to 4771 migrants, we conclude that (1) the electoral participation of migrants shows a significant gender gap, with women participating in a higher proportion; (2) migrants who registered earlier in the electoral registers, are more likely to vote compared to the rest; (3) when migrants come from countries that implement compulsory voting, they increase their likelihood of voting in the receiving country; (4) the declaration of wanting to remain in Chile and not return to their countries of origin or migrate to another country increases the probability of voting, and the same happens with married migrants, with Chilean children, with a Chilean partner, and with a better economic situation; (5) social capital has a positive influence on electoral participation.     

An Assessment of the Italian 2007 Complementary Social Security Reform: A Simulation Approach

In this paper we aim at assessing the outcomes of the 2007 Italian reform of the complementary social security scheme and at identifying the determinants behind them. The reform provided workers with relevant incentives to switch the investment of about 7 per cent of their gross yearly wages from a firm‐managed scheme (which took the form of a termination indemnity payment, the Trattamento di Fine Rapporto scheme) to an external pension fund. We provide a theoretical framework to model the workers' problem of choosing between these two different forms of complementary social security schemes and we then perform an agent‐based simulation taking into account all the details of the reform. Differently from previous contributions, we stress the impact that the investment decision has on the financial health of firms and, consequently, on workers' employment stability. Our simulations are able to replicate the Italian data in terms of adhesion rates to complementary social security and also to identify some of the key determinants of that outcome, such as fiscal incentives, individual preferences, the working of both the Italian labour and the financial markets and the productive structure of the Italian economy.     

Nearly Gaussian Distributions and Application

We consider the random variable X that is not Gaussian but for which X ^c , where c = (2k + 1)/(2j + 1) with k, j ? {0, 1,…}, is approximately Gaussian. A variable of this type is used to model the errors made by meteorologists when forecasting temperatures.     

Multiple comparisons to both a negative and a positive control

This paper addresses multiple comparisons in the presence of both a negative and a positive control. The methodology of the three-arm trial is extended to the case of many experimental treatment arms or different doses of a compound. In contrast to the classic three-arm trial, the focus is on the family-wise error type I. Normally distributed data with either homogeneous or heterogeneous group variances are considered. Explicit criteria for an optimal allocation are proposed. Depending on the pattern of heterogeneity, remarkably unbalanced designs are power-optimal. As an example, the method will be applied to a toxicological experiment.     

Italian Social Enterprises at the Crossroads: Their Role in the Evolution of the Welfare State

This paper investigates the relationship between the emergence of social enterprises (SEs) and the historical development of the Italian welfare state. Our research offers a comprehensive overview of the internal and external influences that shaped the constitutive relations between the welfare state and SEs. A qualitative methodology based on semi-structured interviews and focus groups has been adopted. This study suggests that two interconnected dynamics—the emergence of new social needs being answered by private organisations and the increased prominence of third sector actors during the privatisation of the welfare state—shaped the co-evolution of the welfare state and SEs in Italy. The study also suggests that the emergence and evolution of Social Enterprises in the years leading up to 2001 was mainly a bottom-up phenomena stemming from the actions of citizens setting up private organisations (often cooperatives) to answer to social problems created by new social needs and the structural reform of the welfare state. After 2001 especially with the new law on SEs in 2016, the evolution of SEs seems to have been increasingly influenced by the surrounding ecosystem of actors and supranational policy discourses rather than SEs themselves.     

Income tax schedule and redistribution in direct democracies – the Swiss case

This study examines redistribution policy through personal income taxes in Swiss cantons over the period 1995–2011. In a first step, redistribution measures are estimated with the help of exhaustive administrative data. Redistribution is decomposed into average tax rate and tax progression. In a second step, we investigate the impact of direct democratic institutions and their usage on tax policy and redistribution. The results suggest that the effect of direct democracy on income tax redistribution is a multilayered process. First, the theoretical availability of direct democracy tools does not seem to have the same impact as the effective use of them. Second, fiscal referendums may – in the short term –reduce redistribution through lower tax rates and lead to less tax progression. Third, an increasing number of ballots on initiatives leads to more tax progression and more redistribution in the long run. It seems that the short-term dampening effects of fiscal referendums on redistribution may be overridden in the long run by the expansive effect of popular initiatives.     

What are the likely interactions among innovation,government debt,and employment?

The study here analyzes the interactions among labor, R&D intensity, and public expenditure on education (indicators of innovation), considering public debt of countries. The study is based on 27 European countries over the 1995–2009 and applies multiple regression analysis. Main findings seem to be: a significant interaction of public expenditure on education and R&D intensity with employment rate, whereas an increase of general government consolidated gross debt has a negative interaction for employment rate as well as for technology indicators. The theoretical framework and empirical evidence suggest vital political economy implications to support employment rate during contractions of the business cycle. In particular, considering the specificity of the economic structure of countries, a fruitful lung-run political economy of growth should slowly dry out public debt by supporting GDP growth, rather than reducing government debt with high taxation and balanced-budget rules, in order to decrease frictional effects for patterns of economic, technological, and employment growth.     

Effects of air pollution and weather on the initial COVID-19 outbreaks in United States,Italy, Spain,and China: A comparative study

Contrasting effects have been identified in association of weather (temperature and humidity) and pollutant gases with COVID-19 infection, which could be derived from the influence of lockdowns and season change. The influence of pollutant gases and climate during the initial phases of the pandemic, before the closures and the change of season in the northern hemisphere, is unknown. Here, we used a spatial-temporal Bayesian zero-inflated-Poisson model to test for short-term associations of weather and pollutant gases with the relative risk of COVID-19 disease in China (first outbreak) and the countries with more cases during the initial pandemic (the United States, Spain and Italy), considering also the effects of season and lockdown. We found contrasting association between pollutant gases and COVID-19 risk in the United States, Italy, and Spain, while in China it was negatively associated (except for SO₂). COVID-19 risk was positively associated with specific humidity in all countries, while temperature presented a negative effect. Our findings showed that short-term associations of air pollutants with COVID-19 infection vary strongly between countries, while generalized effects of temperature (negative) and humidity (positive) with COVID-19 was found. Our results show novel information about the influence of pollution and weather on the initial outbreaks, which contribute to unravel the mechanisms during the beginning of the pandemic.     

Reference priors for constrained rate models of count data

We derive reference priors for constrained rate models of count data using the sequential algorithm of Berger and Bernardo (1992b). The event counts for various groups of subjects are modeled as discrete random variables (Poisson, binomial, or negative binomial) with group specific rates. We consider situations in which the groups can be completely ordered according to one covariate. The priors enforce monotonicity (or monotonicity and convexity) of the rates with respect to the ordering. We use the priors to model a data set on mortality rates for men in different age groups assuming that the mortality rates increase with respect to age. We also consider the situation in which the parameter space is augmented to include rates corresponding to unobserved age groups, and the case of a random upper bound on the mortality rates. In addition, we provide an evaluation of the out-of-sample predictive performance of the proposed methods.